From 131d8c4eb7fcee743be6388acd66d338ae917735 Mon Sep 17 00:00:00 2001 From: rstiskalek Date: Wed, 25 Sep 2024 10:49:49 +0100 Subject: [PATCH] Update nb --- .../flow/reconstruction_comparison.ipynb | 150 +++++++----------- 1 file changed, 55 insertions(+), 95 deletions(-) diff --git a/notebooks/flow/reconstruction_comparison.ipynb b/notebooks/flow/reconstruction_comparison.ipynb index 224256a..0cfbd72 100644 --- a/notebooks/flow/reconstruction_comparison.ipynb +++ b/notebooks/flow/reconstruction_comparison.ipynb @@ -82,13 +82,6 @@ "get_gof(\"neg_lnZ_harmonic\", fname)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null, @@ -269,104 +262,71 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Carrick2015_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:18:58\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Lilow2024_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:18:52\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:20:01\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2X_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:20:05\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_manticore_2MPP_N128_DES_V1_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 20/09/2024 14:49:46\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_CLONES_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 12/09/2024 10:19:42\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_CF4_LOSS_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 20/09/2024 21:55:56\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Carrick2015_Foundation_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:18:47\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Lilow2024_Foundation_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:18:56\n", - "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_Foundation_mike_zcmb_max_0.05_sample_alpha.hdf5\n", - "Last modified: 30/08/2024 13:19:59\n", - "File: 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/mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_2MTF_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:34:57\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Carrick2015_SFI_gals_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:19:01\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Lilow2024_SFI_gals_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:23:28\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_SFI_gals_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:37:53\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Carrick2015_CF4_TFR_i_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:21:33\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Lilow2024_CF4_TFR_i_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:26:11\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_CF4_TFR_i_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 12:04:44\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Carrick2015_CF4_TFR_w1_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:21:09\n", + "File: /mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_Lilow2024_CF4_TFR_w1_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5\n", + "Last modified: 23/09/2024 11:25:47\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] Unable to synchronously open file (unable to open file: name = '/mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_CF4_TFR_w1_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 17\u001b[0m\n\u001b[1;32m 11\u001b[0m fname \u001b[38;5;241m=\u001b[39m paths\u001b[38;5;241m.\u001b[39mflow_validation(\n\u001b[1;32m 12\u001b[0m fdir, simname, catalogue, inference_method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmike\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 13\u001b[0m sample_alpha\u001b[38;5;241m=\u001b[39msimname \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIndranilVoid_exp\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 14\u001b[0m zcmb_max\u001b[38;5;241m=\u001b[39mzcmb_max, smooth\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 16\u001b[0m \u001b[38;5;66;03m# y_BIC[i, j] = get_gof(\"BIC\", fname)z\u001b[39;00m\n\u001b[0;32m---> 17\u001b[0m y_lnZ[i, j] \u001b[38;5;241m=\u001b[39m \u001b[43mget_gof\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mneg_lnZ_harmonic\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 19\u001b[0m y_lnZ[i] \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m y_lnZ[i]\u001b[38;5;241m.\u001b[39mmin()\n", + "File \u001b[0;32m~/csiborgtools/notebooks/flow/reconstruction_comparison.py:198\u001b[0m, in \u001b[0;36mget_gof\u001b[0;34m(kind, fname)\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kind \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBIC\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAIC\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mneg_lnZ_harmonic\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[1;32m 196\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`kind` must be one of \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mBIC\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAIC\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mneg_lnZ_harmonic\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;66;03m# noqa\u001b[39;00m\n\u001b[0;32m--> 198\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[43mFile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m f[\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgof/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkind\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m][()]\n", + "File \u001b[0;32m~/csiborgtools/venv_csiborg/lib/python3.11/site-packages/h5py/_hl/files.py:562\u001b[0m, in \u001b[0;36mFile.__init__\u001b[0;34m(self, name, mode, driver, libver, userblock_size, swmr, rdcc_nslots, rdcc_nbytes, rdcc_w0, track_order, fs_strategy, fs_persist, fs_threshold, fs_page_size, page_buf_size, min_meta_keep, min_raw_keep, locking, alignment_threshold, alignment_interval, meta_block_size, **kwds)\u001b[0m\n\u001b[1;32m 553\u001b[0m fapl \u001b[38;5;241m=\u001b[39m make_fapl(driver, libver, rdcc_nslots, rdcc_nbytes, rdcc_w0,\n\u001b[1;32m 554\u001b[0m locking, page_buf_size, min_meta_keep, min_raw_keep,\n\u001b[1;32m 555\u001b[0m alignment_threshold\u001b[38;5;241m=\u001b[39malignment_threshold,\n\u001b[1;32m 556\u001b[0m alignment_interval\u001b[38;5;241m=\u001b[39malignment_interval,\n\u001b[1;32m 557\u001b[0m meta_block_size\u001b[38;5;241m=\u001b[39mmeta_block_size,\n\u001b[1;32m 558\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m 559\u001b[0m fcpl \u001b[38;5;241m=\u001b[39m make_fcpl(track_order\u001b[38;5;241m=\u001b[39mtrack_order, fs_strategy\u001b[38;5;241m=\u001b[39mfs_strategy,\n\u001b[1;32m 560\u001b[0m fs_persist\u001b[38;5;241m=\u001b[39mfs_persist, fs_threshold\u001b[38;5;241m=\u001b[39mfs_threshold,\n\u001b[1;32m 561\u001b[0m fs_page_size\u001b[38;5;241m=\u001b[39mfs_page_size)\n\u001b[0;32m--> 562\u001b[0m fid \u001b[38;5;241m=\u001b[39m \u001b[43mmake_fid\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muserblock_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfapl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfcpl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mswmr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mswmr\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 564\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(libver, \u001b[38;5;28mtuple\u001b[39m):\n\u001b[1;32m 565\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_libver \u001b[38;5;241m=\u001b[39m libver\n", + "File \u001b[0;32m~/csiborgtools/venv_csiborg/lib/python3.11/site-packages/h5py/_hl/files.py:235\u001b[0m, in \u001b[0;36mmake_fid\u001b[0;34m(name, mode, userblock_size, fapl, fcpl, swmr)\u001b[0m\n\u001b[1;32m 233\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m swmr \u001b[38;5;129;01mand\u001b[39;00m swmr_support:\n\u001b[1;32m 234\u001b[0m flags \u001b[38;5;241m|\u001b[39m\u001b[38;5;241m=\u001b[39m h5f\u001b[38;5;241m.\u001b[39mACC_SWMR_READ\n\u001b[0;32m--> 235\u001b[0m fid \u001b[38;5;241m=\u001b[39m \u001b[43mh5f\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mflags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfapl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfapl\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 236\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr+\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 237\u001b[0m fid \u001b[38;5;241m=\u001b[39m h5f\u001b[38;5;241m.\u001b[39mopen(name, h5f\u001b[38;5;241m.\u001b[39mACC_RDWR, fapl\u001b[38;5;241m=\u001b[39mfapl)\n", + "File \u001b[0;32mh5py/_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mh5py/_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mh5py/h5f.pyx:102\u001b[0m, in \u001b[0;36mh5py.h5f.open\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] Unable to synchronously open file (unable to open file: name = '/mnt/extraspace/rstiskalek/csiborg_postprocessing/peculiar_velocity/samples_csiborg2_main_CF4_TFR_w1_mike_smooth_1_zcmb_max_0.05_sample_alpha.hdf5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)" ] } ], "source": [ "zcmb_max = 0.05\n", "\n", - "sims = [\"Carrick2015\", \"Lilow2024\", \"csiborg2_main\", \"csiborg2X\", \"manticore_2MPP_N128_DES_V1\", \"CLONES\", \"CF4\",]\n", + "sims = [\"Carrick2015\", \"Lilow2024\", \"csiborg2_main\"]\n", "catalogues = [\"LOSS\", \"Foundation\", \"2MTF\", \"SFI_gals\", \"CF4_TFR_i\", \"CF4_TFR_w1\"]\n", "\n", "y_BIC = np.full((len(catalogues), len(sims)), np.nan)\n", @@ -377,7 +337,7 @@ " fname = paths.flow_validation(\n", " fdir, simname, catalogue, inference_method=\"mike\",\n", " sample_alpha=simname != \"IndranilVoid_exp\",\n", - " zcmb_max=zcmb_max)\n", + " zcmb_max=zcmb_max, smooth=1)\n", "\n", " # y_BIC[i, j] = get_gof(\"BIC\", fname)z\n", " y_lnZ[i, j] = get_gof(\"neg_lnZ_harmonic\", fname)\n", @@ -392,7 +352,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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